Udemy – Building LLM Powered Applications – Create Intelligent Apps 2025-4

Building LLM Powered Applications – Create Intelligent Apps is a course on how to harness the power of large language models (LLMs) to build intelligent, responsive, and context-aware applications published by Udemy Online Academy. This is a practical, hands-on course designed to teach developers how to harness the power of large language models (LLMs) to build intelligent, responsive, and context-aware applications. Whether you’re developing chatbots, automation tools, or intelligent data analytics systems, this course guides you through the effective integration of LLMs into real-world applications using APIs, frameworks, and orchestration tools. Ideal for developers, data scientists, and AI enthusiasts, this course bridges theory and implementation for scalable AI-powered applications.

This comprehensive course teaches you how to build real-world applications using Large Language Models (LLMs) like GPT from OpenAI, Claude from Anthropic, LLaMA from Meta, and Mistral. Whether you’re a developer, engineer, student, or tech enthusiast, this course will guide you through everything from fundamental theory to advanced implementation using modern tools like LangChain, LlamaIndex, and vector databases. By the end of this course, you’ll not only understand how to integrate LLMs into your applications, but you’ll also have the practical skills to build your own intelligent tools and deploy them in the real world.

What you will learn in Building LLM Powered Applications – Create Intelligent Apps:

• Building intelligent applications using large language models (LLMs) such as GPT and Mistral
• Designing effective instructions to guide LLM behavior using advanced instruction engineering techniques
• Comparing and evaluating popular LLMs for different application scenarios
• Implementing Retrieval Augmentative Generation (RAG) with embeddings and vector databases
• Building natural and context-aware conversational agents and assistants
• Injecting custom data into LLM pipelines using semantic segmentation and indexing
• Applying multi-stage learning strategies to improve response quality in LLM outputs
• And…

Course specifications

Publisher: Udemy
Instructors: OCSALY Academy | 480.000+ Students
Language: English
Level: Introductory to Advanced
Number of Lessons: 33
Duration: 4 hours and 36 minutes

Course topics

Building LLM Powered Applications – Create Intelligent Apps Prerequisites

No requirements, you’ll learn everything here! Including Python

Pictures

Building LLM Powered Applications – Create Intelligent Apps introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 914 MB

Size

1.9 GB